Build uploaded using `kernels`.

build/torch210-cxx11-cu126-x86_64-linux/__init__.py

@@ -1,12 +0,0 @@
-from typing import Optional
-
-import torch
-
-from ._ops import ops
-
-
-def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
-    if out is None:
-        out = torch.empty_like(x)
-    ops.relu(out, x)
-    return out

build/torch210-cxx11-cu126-x86_64-linux/_ops.py

@@ -1,9 +0,0 @@
-import torch
-from . import _relu_9f1f069
-ops = torch.ops._relu_9f1f069
-
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_relu_9f1f069::{op_name}"

build/torch210-cxx11-cu126-x86_64-linux/_relu_9f1f069.abi3.so

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build/torch210-cxx11-cu126-x86_64-linux/metadata.json

@@ -1 +0,0 @@
-{"python-depends":[]}

build/torch210-cxx11-cu126-x86_64-linux/relu/__init__.py

@@ -1,26 +0,0 @@
-import ctypes
-import sys
-
-import importlib
-from pathlib import Path
-from types import ModuleType
-
-def _import_from_path(file_path: Path) -> ModuleType:
-    # We cannot use the module name as-is, after adding it to `sys.modules`,
-    # it would also be used for other imports. So, we make a module name that
-    # depends on the path for it to be unique using the hex-encoded hash of
-    # the path.
-    path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
-    module_name = path_hash
-    spec = importlib.util.spec_from_file_location(module_name, file_path)
-    if spec is None:
-        raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
-    module = importlib.util.module_from_spec(spec)
-    if module is None:
-        raise ImportError(f"Cannot load module {module_name} from spec")
-    sys.modules[module_name] = module
-    spec.loader.exec_module(module)  # type: ignore
-    return module
-
-
-globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))

build/torch210-cxx11-cu128-x86_64-linux/__init__.py

@@ -1,12 +0,0 @@
-from typing import Optional
-
-import torch
-
-from ._ops import ops
-
-
-def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
-    if out is None:
-        out = torch.empty_like(x)
-    ops.relu(out, x)
-    return out

build/torch210-cxx11-cu128-x86_64-linux/_ops.py

@@ -1,9 +0,0 @@
-import torch
-from . import _relu_9f1f069
-ops = torch.ops._relu_9f1f069
-
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_relu_9f1f069::{op_name}"

build/torch210-cxx11-cu128-x86_64-linux/_relu_9f1f069.abi3.so

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build/torch210-cxx11-cu128-x86_64-linux/metadata.json

@@ -1 +0,0 @@
-{"python-depends":[]}

build/torch210-cxx11-cu128-x86_64-linux/relu/__init__.py

@@ -1,26 +0,0 @@
-import ctypes
-import sys
-
-import importlib
-from pathlib import Path
-from types import ModuleType
-
-def _import_from_path(file_path: Path) -> ModuleType:
-    # We cannot use the module name as-is, after adding it to `sys.modules`,
-    # it would also be used for other imports. So, we make a module name that
-    # depends on the path for it to be unique using the hex-encoded hash of
-    # the path.
-    path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
-    module_name = path_hash
-    spec = importlib.util.spec_from_file_location(module_name, file_path)
-    if spec is None:
-        raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
-    module = importlib.util.module_from_spec(spec)
-    if module is None:
-        raise ImportError(f"Cannot load module {module_name} from spec")
-    sys.modules[module_name] = module
-    spec.loader.exec_module(module)  # type: ignore
-    return module
-
-
-globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))

build/torch210-cxx11-cu130-x86_64-linux/__init__.py

@@ -1,12 +0,0 @@
-from typing import Optional
-
-import torch
-
-from ._ops import ops
-
-
-def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
-    if out is None:
-        out = torch.empty_like(x)
-    ops.relu(out, x)
-    return out

build/torch210-cxx11-cu130-x86_64-linux/_ops.py

@@ -1,9 +0,0 @@
-import torch
-from . import _relu_9f1f069
-ops = torch.ops._relu_9f1f069
-
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_relu_9f1f069::{op_name}"

build/torch210-cxx11-cu130-x86_64-linux/_relu_9f1f069.abi3.so

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build/torch210-cxx11-cu130-x86_64-linux/metadata.json

@@ -1 +0,0 @@
-{"python-depends":[]}

build/torch210-cxx11-cu130-x86_64-linux/relu/__init__.py

@@ -1,26 +0,0 @@
-import ctypes
-import sys
-
-import importlib
-from pathlib import Path
-from types import ModuleType
-
-def _import_from_path(file_path: Path) -> ModuleType:
-    # We cannot use the module name as-is, after adding it to `sys.modules`,
-    # it would also be used for other imports. So, we make a module name that
-    # depends on the path for it to be unique using the hex-encoded hash of
-    # the path.
-    path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
-    module_name = path_hash
-    spec = importlib.util.spec_from_file_location(module_name, file_path)
-    if spec is None:
-        raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
-    module = importlib.util.module_from_spec(spec)
-    if module is None:
-        raise ImportError(f"Cannot load module {module_name} from spec")
-    sys.modules[module_name] = module
-    spec.loader.exec_module(module)  # type: ignore
-    return module
-
-
-globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))

build/torch210-cxx11-rocm70-x86_64-linux/__init__.py

@@ -1,12 +0,0 @@
-from typing import Optional
-
-import torch
-
-from ._ops import ops
-
-
-def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
-    if out is None:
-        out = torch.empty_like(x)
-    ops.relu(out, x)
-    return out

build/torch210-cxx11-rocm70-x86_64-linux/_ops.py

@@ -1,9 +0,0 @@
-import torch
-from . import _relu_9f1f069
-ops = torch.ops._relu_9f1f069
-
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_relu_9f1f069::{op_name}"

build/torch210-cxx11-rocm70-x86_64-linux/_relu_9f1f069.abi3.so

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build/torch210-cxx11-rocm70-x86_64-linux/metadata.json

@@ -1 +0,0 @@
-{"python-depends":[]}

build/torch210-cxx11-rocm70-x86_64-linux/relu/__init__.py

@@ -1,26 +0,0 @@
-import ctypes
-import sys
-
-import importlib
-from pathlib import Path
-from types import ModuleType
-
-def _import_from_path(file_path: Path) -> ModuleType:
-    # We cannot use the module name as-is, after adding it to `sys.modules`,
-    # it would also be used for other imports. So, we make a module name that
-    # depends on the path for it to be unique using the hex-encoded hash of
-    # the path.
-    path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
-    module_name = path_hash
-    spec = importlib.util.spec_from_file_location(module_name, file_path)
-    if spec is None:
-        raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
-    module = importlib.util.module_from_spec(spec)
-    if module is None:
-        raise ImportError(f"Cannot load module {module_name} from spec")
-    sys.modules[module_name] = module
-    spec.loader.exec_module(module)  # type: ignore
-    return module
-
-
-globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))

build/torch210-cxx11-rocm71-x86_64-linux/__init__.py

@@ -1,12 +0,0 @@
-from typing import Optional
-
-import torch
-
-from ._ops import ops
-
-
-def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
-    if out is None:
-        out = torch.empty_like(x)
-    ops.relu(out, x)
-    return out

build/torch210-cxx11-rocm71-x86_64-linux/_ops.py

@@ -1,9 +0,0 @@
-import torch
-from . import _relu_9f1f069
-ops = torch.ops._relu_9f1f069
-
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_relu_9f1f069::{op_name}"

build/torch210-cxx11-rocm71-x86_64-linux/_relu_9f1f069.abi3.so

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build/torch210-cxx11-rocm71-x86_64-linux/metadata.json

@@ -1 +0,0 @@
-{"python-depends":[]}

build/torch210-cxx11-rocm71-x86_64-linux/relu/__init__.py

@@ -1,26 +0,0 @@
-import ctypes
-import sys
-
-import importlib
-from pathlib import Path
-from types import ModuleType
-
-def _import_from_path(file_path: Path) -> ModuleType:
-    # We cannot use the module name as-is, after adding it to `sys.modules`,
-    # it would also be used for other imports. So, we make a module name that
-    # depends on the path for it to be unique using the hex-encoded hash of
-    # the path.
-    path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
-    module_name = path_hash
-    spec = importlib.util.spec_from_file_location(module_name, file_path)
-    if spec is None:
-        raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
-    module = importlib.util.module_from_spec(spec)
-    if module is None:
-        raise ImportError(f"Cannot load module {module_name} from spec")
-    sys.modules[module_name] = module
-    spec.loader.exec_module(module)  # type: ignore
-    return module
-
-
-globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))

build/torch210-cxx11-xpu20253-x86_64-linux/__init__.py

@@ -1,12 +0,0 @@
-from typing import Optional
-
-import torch
-
-from ._ops import ops
-
-
-def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
-    if out is None:
-        out = torch.empty_like(x)
-    ops.relu(out, x)
-    return out

build/torch210-cxx11-xpu20253-x86_64-linux/_ops.py

@@ -1,9 +0,0 @@
-import torch
-from . import _relu_9f1f069
-ops = torch.ops._relu_9f1f069
-
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_relu_9f1f069::{op_name}"

build/torch210-cxx11-xpu20253-x86_64-linux/_relu_9f1f069.abi3.so

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build/torch210-cxx11-xpu20253-x86_64-linux/metadata.json

@@ -1 +0,0 @@
-{"python-depends":[]}

build/torch210-cxx11-xpu20253-x86_64-linux/relu/__init__.py

@@ -1,26 +0,0 @@
-import ctypes
-import sys
-
-import importlib
-from pathlib import Path
-from types import ModuleType
-
-def _import_from_path(file_path: Path) -> ModuleType:
-    # We cannot use the module name as-is, after adding it to `sys.modules`,
-    # it would also be used for other imports. So, we make a module name that
-    # depends on the path for it to be unique using the hex-encoded hash of
-    # the path.
-    path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
-    module_name = path_hash
-    spec = importlib.util.spec_from_file_location(module_name, file_path)
-    if spec is None:
-        raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
-    module = importlib.util.module_from_spec(spec)
-    if module is None:
-        raise ImportError(f"Cannot load module {module_name} from spec")
-    sys.modules[module_name] = module
-    spec.loader.exec_module(module)  # type: ignore
-    return module
-
-
-globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))

build/torch28-cxx11-cu126-x86_64-linux/__init__.py

@@ -1,12 +0,0 @@
-from typing import Optional
-
-import torch
-
-from ._ops import ops
-
-
-def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
-    if out is None:
-        out = torch.empty_like(x)
-    ops.relu(out, x)
-    return out

build/torch28-cxx11-cu126-x86_64-linux/_ops.py

@@ -1,9 +0,0 @@
-import torch
-from . import _relu_9f1f069
-ops = torch.ops._relu_9f1f069
-
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_relu_9f1f069::{op_name}"

build/torch28-cxx11-cu126-x86_64-linux/_relu_9f1f069.abi3.so

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build/torch28-cxx11-cu126-x86_64-linux/metadata.json

@@ -1 +0,0 @@
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build/torch28-cxx11-cu126-x86_64-linux/relu/__init__.py

@@ -1,26 +0,0 @@
-import ctypes
-import sys
-
-import importlib
-from pathlib import Path
-from types import ModuleType
-
-def _import_from_path(file_path: Path) -> ModuleType:
-    # We cannot use the module name as-is, after adding it to `sys.modules`,
-    # it would also be used for other imports. So, we make a module name that
-    # depends on the path for it to be unique using the hex-encoded hash of
-    # the path.
-    path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
-    module_name = path_hash
-    spec = importlib.util.spec_from_file_location(module_name, file_path)
-    if spec is None:
-        raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
-    module = importlib.util.module_from_spec(spec)
-    if module is None:
-        raise ImportError(f"Cannot load module {module_name} from spec")
-    sys.modules[module_name] = module
-    spec.loader.exec_module(module)  # type: ignore
-    return module
-
-
-globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))

build/torch28-cxx11-cu128-x86_64-linux/__init__.py

@@ -1,12 +0,0 @@
-from typing import Optional
-
-import torch
-
-from ._ops import ops
-
-
-def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
-    if out is None:
-        out = torch.empty_like(x)
-    ops.relu(out, x)
-    return out

build/torch28-cxx11-cu128-x86_64-linux/_ops.py

@@ -1,9 +0,0 @@
-import torch
-from . import _relu_9f1f069
-ops = torch.ops._relu_9f1f069
-
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_relu_9f1f069::{op_name}"

build/torch28-cxx11-cu128-x86_64-linux/_relu_9f1f069.abi3.so

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build/torch28-cxx11-cu128-x86_64-linux/metadata.json

@@ -1 +0,0 @@
-{"python-depends":[]}

build/torch28-cxx11-cu128-x86_64-linux/relu/__init__.py

@@ -1,26 +0,0 @@
-import ctypes
-import sys
-
-import importlib
-from pathlib import Path
-from types import ModuleType
-
-def _import_from_path(file_path: Path) -> ModuleType:
-    # We cannot use the module name as-is, after adding it to `sys.modules`,
-    # it would also be used for other imports. So, we make a module name that
-    # depends on the path for it to be unique using the hex-encoded hash of
-    # the path.
-    path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
-    module_name = path_hash
-    spec = importlib.util.spec_from_file_location(module_name, file_path)
-    if spec is None:
-        raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
-    module = importlib.util.module_from_spec(spec)
-    if module is None:
-        raise ImportError(f"Cannot load module {module_name} from spec")
-    sys.modules[module_name] = module
-    spec.loader.exec_module(module)  # type: ignore
-    return module
-
-
-globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))

build/torch28-cxx11-cu129-x86_64-linux/__init__.py

@@ -1,12 +0,0 @@
-from typing import Optional
-
-import torch
-
-from ._ops import ops
-
-
-def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
-    if out is None:
-        out = torch.empty_like(x)
-    ops.relu(out, x)
-    return out

build/torch28-cxx11-cu129-x86_64-linux/_ops.py

@@ -1,9 +0,0 @@
-import torch
-from . import _relu_9f1f069
-ops = torch.ops._relu_9f1f069
-
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_relu_9f1f069::{op_name}"

build/torch28-cxx11-cu129-x86_64-linux/_relu_9f1f069.abi3.so

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build/torch28-cxx11-cu129-x86_64-linux/metadata.json

@@ -1 +0,0 @@
-{"python-depends":[]}

build/torch28-cxx11-cu129-x86_64-linux/relu/__init__.py

@@ -1,26 +0,0 @@
-import ctypes
-import sys
-
-import importlib
-from pathlib import Path
-from types import ModuleType
-
-def _import_from_path(file_path: Path) -> ModuleType:
-    # We cannot use the module name as-is, after adding it to `sys.modules`,
-    # it would also be used for other imports. So, we make a module name that
-    # depends on the path for it to be unique using the hex-encoded hash of
-    # the path.
-    path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
-    module_name = path_hash
-    spec = importlib.util.spec_from_file_location(module_name, file_path)
-    if spec is None:
-        raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
-    module = importlib.util.module_from_spec(spec)
-    if module is None:
-        raise ImportError(f"Cannot load module {module_name} from spec")
-    sys.modules[module_name] = module
-    spec.loader.exec_module(module)  # type: ignore
-    return module
-
-
-globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))

build/torch28-cxx11-rocm63-x86_64-linux/__init__.py

@@ -1,12 +0,0 @@
-from typing import Optional
-
-import torch
-
-from ._ops import ops
-
-
-def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
-    if out is None:
-        out = torch.empty_like(x)
-    ops.relu(out, x)
-    return out

build/torch28-cxx11-rocm63-x86_64-linux/_ops.py

@@ -1,9 +0,0 @@
-import torch
-from . import _relu_9f1f069
-ops = torch.ops._relu_9f1f069
-
-def add_op_namespace_prefix(op_name: str):
-    """
-    Prefix op by namespace.
-    """
-    return f"_relu_9f1f069::{op_name}"

build/torch28-cxx11-rocm63-x86_64-linux/_relu_9f1f069.abi3.so

@@ -1,3 +0,0 @@
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build/torch28-cxx11-rocm63-x86_64-linux/metadata.json

@@ -1 +0,0 @@
-{"python-depends":[]}

build/torch28-cxx11-rocm63-x86_64-linux/relu/__init__.py

@@ -1,26 +0,0 @@
-import ctypes
-import sys
-
-import importlib
-from pathlib import Path
-from types import ModuleType
-
-def _import_from_path(file_path: Path) -> ModuleType:
-    # We cannot use the module name as-is, after adding it to `sys.modules`,
-    # it would also be used for other imports. So, we make a module name that
-    # depends on the path for it to be unique using the hex-encoded hash of
-    # the path.
-    path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
-    module_name = path_hash
-    spec = importlib.util.spec_from_file_location(module_name, file_path)
-    if spec is None:
-        raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
-    module = importlib.util.module_from_spec(spec)
-    if module is None:
-        raise ImportError(f"Cannot load module {module_name} from spec")
-    sys.modules[module_name] = module
-    spec.loader.exec_module(module)  # type: ignore
-    return module
-
-
-globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))